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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Generation of Cell Lines Propagating Infectious Prions and the Isolation and Characterization of Cell-derived Exosomes
|
|---|---|
| Chapter number | 5 |
| Book title |
Prion Protein Protocols
|
| Published in |
Methods in molecular biology, June 2008
|
| DOI | 10.1007/978-1-59745-234-2_5 |
| Pubmed ID | |
| Book ISBNs |
978-1-58829-897-3, 978-1-59745-234-2
|
| Authors |
Vella, Laura J., Hill, Andrew F., Laura J. Vella, Andrew F. Hill |
| Abstract |
Prion-propagating cell lines are an efficient and useful means for studying the cellular and molecular mechanisms implicated in prion disease. Use of cell-based models has lead to the finding that prion protein (PrP(C)) and PrP(Sc) are released from cells in association with exosomes. Furthermore, exosomes have been shown to act as vehicles for infectivity, transferring PrP(Sc) between cell lines and providing a mechanism for prion spread between tissues. As a role for exosomes in prion disease is emerging, this chapter outlines a method for the generation of prion-infected cell lines and the isolation and characterization of PrP(C)- and PrP(Sc)-containing exosomes. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | 3% |
| Argentina | 1 | 3% |
| Unknown | 38 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 20% |
| Student > Ph. D. Student | 7 | 18% |
| Professor | 5 | 13% |
| Professor > Associate Professor | 5 | 13% |
| Student > Bachelor | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 7 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 40% |
| Biochemistry, Genetics and Molecular Biology | 7 | 18% |
| Medicine and Dentistry | 6 | 15% |
| Immunology and Microbiology | 3 | 8% |
| Neuroscience | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 7 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 December 2012.
All research outputs
#20,176,348
of 22,689,790 outputs
Outputs from Methods in molecular biology
#9,830
of 13,045 outputs
Outputs of similar age
#79,268
of 82,419 outputs
Outputs of similar age from Methods in molecular biology
#8
of 8 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,045 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 82,419 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.